Uses of Class
oracle.pgx.config.mllib.GraphWiseModelConfig.Backend

Packages that use GraphWiseModelConfig.Backend

Package	Description
oracle.pgx.config.mllib	This package contains APIs to all graph machine learning features of PGX.

Uses of GraphWiseModelConfig.Backend in oracle.pgx.config.mllib

Fields in oracle.pgx.config.mllib declared as GraphWiseModelConfig.Backend

Modifier and Type	Field and Description
static GraphWiseModelConfig.Backend	GraphWiseModelConfig.DEFAULT_BACKEND LibTorch

Methods in oracle.pgx.config.mllib that return GraphWiseModelConfig.Backend

Modifier and Type	Method and Description
GraphWiseModelConfig.Backend	GraphWiseModelConfig.getBackend()
static GraphWiseModelConfig.Backend	GraphWiseModelConfig.Backend.valueOf(java.lang.String name) Returns the enum constant of this type with the specified name.
static GraphWiseModelConfig.Backend[]	GraphWiseModelConfig.Backend.values() Returns an array containing the constants of this enum type, in the order they are declared.

Constructors in oracle.pgx.config.mllib with parameters of type GraphWiseModelConfig.Backend

Constructor and Description
GraphWiseModelConfig(int batchSize, int numEpochs, double learningRate, double weightDecay, int embeddingDim, java.lang.Integer seed, GraphWiseConvLayerConfig[] convLayerConfigs, boolean standardize, boolean shuffle, java.util.List<java.lang.String> vertexInputPropertyNames, java.util.List<java.lang.String> edgeInputPropertyNames, boolean fitted, double trainingLoss, int vertexInputFeatureDim, int edgeInputFeatureDim, java.util.List<java.util.Set<java.lang.String>> targetVertexLabelSets, GraphWiseModelConfig.Backend backend, GraphWiseModelConfig.GraphConvModelVariant variant)
SupervisedGraphWiseModelConfig(int batchSize, int numEpochs, double learningRate, double weightDecay, int embeddingDim, java.lang.Integer seed, GraphWiseConvLayerConfig[] convLayerConfigs, boolean standardize, boolean shuffle, java.util.List<java.lang.String> vertexInputPropertyNames, java.util.List<java.lang.String> edgeInputPropertyNames, java.util.List<java.util.Set<java.lang.String>> targetVertexLabelSets, boolean fitted, double trainingLoss, int inputFeatureDim, int edgeInputFeatureDim, oracle.pgx.config.mllib.SupervisedGraphWiseModelConfig.LossFunction lossFunction, LossFunction lossFunctionClass, BatchGenerator batchGenerator, GraphWisePredictionLayerConfig[] predictionLayerConfigs, boolean normalize, java.lang.String vertexTargetPropertyName, LabelMaps labelMaps, GraphWiseModelConfig.Backend backend, GraphWiseModelConfig.GraphConvModelVariant variant)
UnsupervisedGraphWiseModelConfig(int batchSize, int numEpochs, double learningRate, double weightDecay, int embeddingDim, java.lang.Integer seed, GraphWiseConvLayerConfig[] convLayerConfigs, boolean standardize, boolean shuffle, java.util.List<java.lang.String> vertexInputPropertyNames, java.util.List<java.lang.String> edgeInputPropertyNames, java.util.List<java.util.Set<java.lang.String>> targetVertexLabels, boolean fitted, double trainingLoss, int inputFeatureDim, int inputEdgeFeatureDim, UnsupervisedGraphWiseModelConfig.LossFunction lossFunction, GraphWiseDgiLayerConfig dgiLayerConfig, GraphWiseModelConfig.Backend backend, GraphWiseModelConfig.GraphConvModelVariant variant)